curl --request PATCH \
  --url https://api.fieldwise.ai/api/v1/documents/external/{external_id}/metadata \
  --header 'Content-Type: application/json' \
  --header 'X-API-Key: <api-key>' \
  --data '
{
  "metadata": {
    "author": "John Doe",
    "category": "research",
    "tags": [
      "machine-learning",
      "embeddings"
    ]
  }
}
'

import requests

url = "https://api.fieldwise.ai/api/v1/documents/external/{external_id}/metadata"

payload = { "metadata": {
        "author": "John Doe",
        "category": "research",
        "tags": ["machine-learning", "embeddings"]
    } }
headers = {
    "X-API-Key": "<api-key>",
    "Content-Type": "application/json"
}

response = requests.patch(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'PATCH',
  headers: {'X-API-Key': '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    metadata: {
      author: 'John Doe',
      category: 'research',
      tags: ['machine-learning', 'embeddings']
    }
  })
};

fetch('https://api.fieldwise.ai/api/v1/documents/external/{external_id}/metadata', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.fieldwise.ai/api/v1/documents/external/{external_id}/metadata",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "PATCH",
  CURLOPT_POSTFIELDS => json_encode([
    'metadata' => [
        'author' => 'John Doe',
        'category' => 'research',
        'tags' => [
                'machine-learning',
                'embeddings'
        ]
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json",
    "X-API-Key: <api-key>"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://api.fieldwise.ai/api/v1/documents/external/{external_id}/metadata"

	payload := strings.NewReader("{\n  \"metadata\": {\n    \"author\": \"John Doe\",\n    \"category\": \"research\",\n    \"tags\": [\n      \"machine-learning\",\n      \"embeddings\"\n    ]\n  }\n}")

	req, _ := http.NewRequest("PATCH", url, payload)

	req.Header.Add("X-API-Key", "<api-key>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.patch("https://api.fieldwise.ai/api/v1/documents/external/{external_id}/metadata")
  .header("X-API-Key", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"metadata\": {\n    \"author\": \"John Doe\",\n    \"category\": \"research\",\n    \"tags\": [\n      \"machine-learning\",\n      \"embeddings\"\n    ]\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.fieldwise.ai/api/v1/documents/external/{external_id}/metadata")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Patch.new(url)
request["X-API-Key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"metadata\": {\n    \"author\": \"John Doe\",\n    \"category\": \"research\",\n    \"tags\": [\n      \"machine-learning\",\n      \"embeddings\"\n    ]\n  }\n}"

response = http.request(request)
puts response.read_body

{
  "data": {
    "status": true,
    "data": {
      "id": 123,
      "created_at": "2023-11-07T05:31:56Z",
      "updated_at": "2023-11-07T05:31:56Z",
      "external_id": "<string>",
      "file_path": "<string>",
      "file_url": "<string>",
      "document_metadata": {}
    }
  },
  "success": true,
  "error": {
    "error_code": "RESOURCE_NOT_FOUND",
    "message": "Resource not found"
  },
  "meta": {
    "timestamp": "2023-11-07T05:31:56Z",
    "version": "1.0"
  }
}

{
  "error_code": "RESOURCE_NOT_FOUND",
  "message": "Resource not found"
}

{
  "error_code": "RESOURCE_NOT_FOUND",
  "message": "Resource not found"
}

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>"
    }
  ]
}

{
  "error_code": "RESOURCE_NOT_FOUND",
  "message": "Resource not found"
}